[Objectives]The use of natural enemies of living insects and their derivatives can effectively avoid the problems of pesticide residues,pest resistance,biodiversity decline,control effect weakening and so on.[Methods]...[Objectives]The use of natural enemies of living insects and their derivatives can effectively avoid the problems of pesticide residues,pest resistance,biodiversity decline,control effect weakening and so on.[Methods]Parasites inject various parasitic factors into hosts to inhibit the development of hosts,adjust the immunity of hosts,interfere with the growth and development of hosts,and reduce the nutrition metabolism of hosts,so as to ensure the growth and development of the offspring.Host pests can escape or conquer the parasitism of parasitic wasps through immune defense system in order to reproduce their own offspring.[Results]Under intense and strong selection pressure,in order to effectively ensure the success rate of parasitism,the adaptive diversity of parasitism strategies of parasitic wasps is finally caused.In the process of evolution and under the pressure of directional selection,the innate immunity and acquired immunity gradually evolve.[Conclusions]In-depth research on parasitic factors of parasitic wasps and their interaction with crop pests immunity and development can not only improve theoretical understanding of insect immunity and development biology,pest biological control and other disciplines,but also be expected to enable the application of some components of parasitic factors to agriculture,medicine and pharmacy.Bactrocera dorsalis is a destructive fruit and vegetable pest.This paper summarized the venom protein of B.dorsalis parasitoids and the immune interaction with hosts,in order to provide theoretical basis for biological control of plant pests by using parasitic natural enemies.展开更多
[Objective]The paper was to establish a rapid identification method of Bactrocera cilifera(Hendel)with species-specific primers(SS-COI).[Method]Using B.cilifera(Hendel)as the positive control,and 19 species of fruit f...[Objective]The paper was to establish a rapid identification method of Bactrocera cilifera(Hendel)with species-specific primers(SS-COI).[Method]Using B.cilifera(Hendel)as the positive control,and 19 species of fruit flies such as B.diaphora(Coquillett)and B.dorsalis(Hendel)as the negative controls,a pair of species-specific primers,YF290 and YR511,were designed and screened for accurate identification of B.cilifera,based on mitochondrial DNA COI sequence.[Result]The PCR products were amplified and detected by electrophoresis.Only a clear and single band was observed at about 222 bp in the positive control,while no bands were found in the other negative controls.[Conclusion]The established rapid identification method with species-specific primers(SS-COI)is of great practical significance for rapid identification of fruit flies intercepted from import and export fruits and vegetables at ports,and for rapid clearance and early warning of import fruits and vegetables at ports.展开更多
Bactrocera dorsalis Hendel （Diptera： Tephritidae） is an invasive pest around the world. The paper summarizes biological and ecological characteristics of B, dorsalis, and reviews its detection methods from the aspe...Bactrocera dorsalis Hendel （Diptera： Tephritidae） is an invasive pest around the world. The paper summarizes biological and ecological characteristics of B, dorsalis, and reviews its detection methods from the aspects of morphological identification, acoustic detection and molecular detection, in order to provide a reference for further research and development of new detection methods. The hot issues in the study of B. dorsalis, such as ecological adaptation pattern, diffusion pathways and mechanisms, sustainable control measures, are also put forward in the paper.展开更多
研究旨为橘小实蝇在四川盆地的检疫检测、综合防治及风险分析提供科学决策参考。运用基于最大熵(Maxent)、遗传算法(Garp)、环境包络原理(Bioclim)和Gower距离算法(Domain)的4种生态位预测模型预测橘小实蝇在四川盆地潜在适生区,并采用...研究旨为橘小实蝇在四川盆地的检疫检测、综合防治及风险分析提供科学决策参考。运用基于最大熵(Maxent)、遗传算法(Garp)、环境包络原理(Bioclim)和Gower距离算法(Domain)的4种生态位预测模型预测橘小实蝇在四川盆地潜在适生区,并采用受试者工作特征曲线(ROC)和Kappa统计量分析方法检验模型预测效果。结果表明,4种模型的ROC曲线下的面积AUC(area under the ROC curve)平均值均大于0.9,Kappa统计量平均值亦大于0.75,预测模型具有较高的预测精度。通过“刀切法”分析得出最干季降水量、最干季平均温度、温度季节性变化和温度日较差是主导橘小实蝇潜在分布的关键环境变量,对当前橘小实蝇分布格局的形成起决定性作用。4种模型预测橘小实蝇适生面积和位置相差较大,但均包含川中丘陵区、川东平行岭谷区和盆边南部低山区,且川中丘陵区东部、川东平行岭谷区和盆边南部低山区的西部均为高、中适生区集中区域。由此可见,橘小实蝇在四川盆地适生范围较广,鉴于柑橘对四川盆地经济的重要性,当地相关部门应加强对其的检测检疫工作,避免造成较大的损失。展开更多
基金Supported by Fund of Guangxi Key Laboratory of Biology for Crop Diseases and Insect Pests (2020-ST-05)Science and Technology Major Project of Guangxi (GK AA17202017-2).
文摘[Objectives]The use of natural enemies of living insects and their derivatives can effectively avoid the problems of pesticide residues,pest resistance,biodiversity decline,control effect weakening and so on.[Methods]Parasites inject various parasitic factors into hosts to inhibit the development of hosts,adjust the immunity of hosts,interfere with the growth and development of hosts,and reduce the nutrition metabolism of hosts,so as to ensure the growth and development of the offspring.Host pests can escape or conquer the parasitism of parasitic wasps through immune defense system in order to reproduce their own offspring.[Results]Under intense and strong selection pressure,in order to effectively ensure the success rate of parasitism,the adaptive diversity of parasitism strategies of parasitic wasps is finally caused.In the process of evolution and under the pressure of directional selection,the innate immunity and acquired immunity gradually evolve.[Conclusions]In-depth research on parasitic factors of parasitic wasps and their interaction with crop pests immunity and development can not only improve theoretical understanding of insect immunity and development biology,pest biological control and other disciplines,but also be expected to enable the application of some components of parasitic factors to agriculture,medicine and pharmacy.Bactrocera dorsalis is a destructive fruit and vegetable pest.This paper summarized the venom protein of B.dorsalis parasitoids and the immune interaction with hosts,in order to provide theoretical basis for biological control of plant pests by using parasitic natural enemies.
基金Supported by Natural Science Foundation of Fujian Province (2011J01066, 2012JO1061)。
文摘[Objective]The paper was to establish a rapid identification method of Bactrocera cilifera(Hendel)with species-specific primers(SS-COI).[Method]Using B.cilifera(Hendel)as the positive control,and 19 species of fruit flies such as B.diaphora(Coquillett)and B.dorsalis(Hendel)as the negative controls,a pair of species-specific primers,YF290 and YR511,were designed and screened for accurate identification of B.cilifera,based on mitochondrial DNA COI sequence.[Result]The PCR products were amplified and detected by electrophoresis.Only a clear and single band was observed at about 222 bp in the positive control,while no bands were found in the other negative controls.[Conclusion]The established rapid identification method with species-specific primers(SS-COI)is of great practical significance for rapid identification of fruit flies intercepted from import and export fruits and vegetables at ports,and for rapid clearance and early warning of import fruits and vegetables at ports.
基金Supported by International Cooperation Project of the Ministry of Science and Technology(2011DFB30040)Key Project of Science and Technology Development Fund of Guangxi Academy of Agricultural Sciences(2012JZ08)Scientific and Technological Projects of Nanning Municipal Science and Technology Bureau(20132308)
文摘Bactrocera dorsalis Hendel （Diptera： Tephritidae） is an invasive pest around the world. The paper summarizes biological and ecological characteristics of B, dorsalis, and reviews its detection methods from the aspects of morphological identification, acoustic detection and molecular detection, in order to provide a reference for further research and development of new detection methods. The hot issues in the study of B. dorsalis, such as ecological adaptation pattern, diffusion pathways and mechanisms, sustainable control measures, are also put forward in the paper.
文摘研究旨为橘小实蝇在四川盆地的检疫检测、综合防治及风险分析提供科学决策参考。运用基于最大熵(Maxent)、遗传算法(Garp)、环境包络原理(Bioclim)和Gower距离算法(Domain)的4种生态位预测模型预测橘小实蝇在四川盆地潜在适生区,并采用受试者工作特征曲线(ROC)和Kappa统计量分析方法检验模型预测效果。结果表明,4种模型的ROC曲线下的面积AUC(area under the ROC curve)平均值均大于0.9,Kappa统计量平均值亦大于0.75,预测模型具有较高的预测精度。通过“刀切法”分析得出最干季降水量、最干季平均温度、温度季节性变化和温度日较差是主导橘小实蝇潜在分布的关键环境变量,对当前橘小实蝇分布格局的形成起决定性作用。4种模型预测橘小实蝇适生面积和位置相差较大,但均包含川中丘陵区、川东平行岭谷区和盆边南部低山区,且川中丘陵区东部、川东平行岭谷区和盆边南部低山区的西部均为高、中适生区集中区域。由此可见,橘小实蝇在四川盆地适生范围较广,鉴于柑橘对四川盆地经济的重要性,当地相关部门应加强对其的检测检疫工作,避免造成较大的损失。
